Open data for COVID-19 policy analysis and mapping
Abstract As the COVID-19 pandemic unfolded in the spring of 2020, governments around the world began to implement policies to mitigate and manage the outbreak. Significant research efforts were deployed to track and analyse these policies in real-time to better inform the response. While much of the...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02398-3 |
| _version_ | 1797769647147188224 |
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| author | Rebecca Katz Kate Toole Hailey Robertson Alaina Case Justin Kerr Siobhan Robinson-Marshall Jordan Schermerhorn Sarah Orsborn Michael Van Maele Ryan Zimmerman Tess Stevens COVID AMP Coding Team Alexandra Phelan Colin Carlson Ellie Graeden |
| author_facet | Rebecca Katz Kate Toole Hailey Robertson Alaina Case Justin Kerr Siobhan Robinson-Marshall Jordan Schermerhorn Sarah Orsborn Michael Van Maele Ryan Zimmerman Tess Stevens COVID AMP Coding Team Alexandra Phelan Colin Carlson Ellie Graeden |
| author_sort | Rebecca Katz |
| collection | DOAJ |
| description | Abstract As the COVID-19 pandemic unfolded in the spring of 2020, governments around the world began to implement policies to mitigate and manage the outbreak. Significant research efforts were deployed to track and analyse these policies in real-time to better inform the response. While much of the policy analysis focused narrowly on social distancing measures designed to slow the spread of disease, here, we present a dataset focused on capturing the breadth of policy types implemented by jurisdictions globally across the whole-of-government. COVID Analysis and Mapping of Policies (COVID AMP) includes nearly 50,000 policy measures from 150 countries, 124 intermediate areas, and 235 local areas between January 2020 and June 2022. With up to 40 structured and unstructured characteristics encoded per policy, as well as the original source and policy text, this dataset provides a uniquely broad capture of the governance strategies for pandemic response, serving as a critical data source for future work in legal epidemiology and political science. |
| first_indexed | 2024-03-12T21:12:04Z |
| format | Article |
| id | doaj.art-833246e437924900938ff59c693ed966 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-12T21:12:04Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-833246e437924900938ff59c693ed9662023-07-30T11:07:02ZengNature PortfolioScientific Data2052-44632023-07-011011910.1038/s41597-023-02398-3Open data for COVID-19 policy analysis and mappingRebecca Katz0Kate Toole1Hailey Robertson2Alaina Case3Justin Kerr4Siobhan Robinson-Marshall5Jordan Schermerhorn6Sarah Orsborn7Michael Van Maele8Ryan Zimmerman9Tess Stevens10COVID AMP Coding TeamAlexandra Phelan11Colin Carlson12Ellie Graeden13Center for Global Health Science and Security, Georgetown UniversityCenter for Global Health Science and Security, Georgetown UniversityCenter for Global Health Science and Security, Georgetown UniversityTalus Analytics LLC, BoulderTalus Analytics LLC, BoulderCenter for Global Health Science and Security, Georgetown UniversityCenter for Global Health Science and Security, Georgetown UniversityTalus Analytics LLC, BoulderTalus Analytics LLC, BoulderCenter for Global Health Science and Security, Georgetown UniversityCenter for Global Health Science and Security, Georgetown UniversityCenter for Global Health Science and Security, Georgetown UniversityCenter for Global Health Science and Security, Georgetown UniversityCenter for Global Health Science and Security, Georgetown UniversityAbstract As the COVID-19 pandemic unfolded in the spring of 2020, governments around the world began to implement policies to mitigate and manage the outbreak. Significant research efforts were deployed to track and analyse these policies in real-time to better inform the response. While much of the policy analysis focused narrowly on social distancing measures designed to slow the spread of disease, here, we present a dataset focused on capturing the breadth of policy types implemented by jurisdictions globally across the whole-of-government. COVID Analysis and Mapping of Policies (COVID AMP) includes nearly 50,000 policy measures from 150 countries, 124 intermediate areas, and 235 local areas between January 2020 and June 2022. With up to 40 structured and unstructured characteristics encoded per policy, as well as the original source and policy text, this dataset provides a uniquely broad capture of the governance strategies for pandemic response, serving as a critical data source for future work in legal epidemiology and political science.https://doi.org/10.1038/s41597-023-02398-3 |
| spellingShingle | Rebecca Katz Kate Toole Hailey Robertson Alaina Case Justin Kerr Siobhan Robinson-Marshall Jordan Schermerhorn Sarah Orsborn Michael Van Maele Ryan Zimmerman Tess Stevens COVID AMP Coding Team Alexandra Phelan Colin Carlson Ellie Graeden Open data for COVID-19 policy analysis and mapping Scientific Data |
| title | Open data for COVID-19 policy analysis and mapping |
| title_full | Open data for COVID-19 policy analysis and mapping |
| title_fullStr | Open data for COVID-19 policy analysis and mapping |
| title_full_unstemmed | Open data for COVID-19 policy analysis and mapping |
| title_short | Open data for COVID-19 policy analysis and mapping |
| title_sort | open data for covid 19 policy analysis and mapping |
| url | https://doi.org/10.1038/s41597-023-02398-3 |
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